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EXP: Collaborative Research: WeatherBlur

EXP: Collaborative Research: WeatherBlur
EXP:合作研究:WeatherBlur
批准号:
1217247
负责人:
Ruth Kermish-Allen
金额:
$54.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
PI正在研究和改进对在线学习社区的基础设施支持的使用,该社区在非等级学习环境中吸引当地学生,教师,渔民和农村社区的科学家。该小组正在测试和完善一个在线平台的功效,该平台支持在基于地点的教育背景下进行调查。他们正在调查这些不同的人群如何相互学习,并寻求确定是什么影响了他们对STEM概念和对话的理解,他们正在努力制定一种教学法,将每个人群的需求和潜在贡献的最佳元素结合起来,以便建立一个真正的学习社区。技术创新是社区学习的基础设施。研究着眼于信息传播,新兴的通信网络,每个社区之间的学习和参与,目的是了解在使这种学习机会有效地为所有人服务时必须解决的能力和挑战。这项工作将在不同的地方进行--六个在缅因州,两个在阿拉斯加沿海。这些地区都是农村地区,在很多方面都是互不相连的,而且每一个地区都在经历天气和气候的变化,这些变化正在影响当地的生态系统和居民的生计。这项奋进着眼于如何利用技术来促进复杂的学习和获得资源,这些资源在这些偏远且往往贫困的社区是无法获得的。该项目旨在展示如何将科学带回社区,利用其问题和资源使科学相关,希望能重新引起老年居民对科学的兴趣,并引起学生和教师的兴趣和理解。从长远来看,PI正在寻求开发一种基于地点的非等级学习社区模型,该模型可能会在各种地方使用,每个地方都有自己的社区问题和资源。本报告涉及几个学习者群体:学龄儿童(K-8),他们可以在社区中他们周围的企业的背景下学习科学;渔民,他们贡献自己的经验和智慧,但可能不知道他们所经历的背后的科学;具有类似作用的其他社区成员;父母;和教师。此外,还将有科学家,他们可能来自同一社区,也可能不来自同一社区,他们对社区正在进行的数据收集、分析和解释发表评论。科学家也将是学习者,因为他们需要学习如何与目标人群进行良好的沟通。
英文摘要
The PIs are studying and refining use of infrastructure support for an online learning community that engages local students, teachers, fishermen, and scientists in rural communities in a non-hierarchical learning environment. The team is testing the efficacy of and refining an online platform that supports inquiry in the context of place-based education. They are investigating how these different populations learn together with each other and seek to determine what influences their understanding of STEM concepts and dialogues, and they are working towards a pedagogy that combines the best elements of each population's needs and potential contributions so that a true learning community can develop. The technological innovation is an infrastructure for community learning. Research looks at information diffusion, emergent communication networks, learning among each of the communities, and participation, with the aim of understanding affordances and challenges that must be addressed in making such learning opportunities work effectively for all. The effort will be carried out in a variety of locales -- six in Maine and two in coastal Alaska. Each of these is rural and in many ways disconnected, and each is experiencing shifts in weather and climate that are affecting the local ecosystems and livelihoods of residents.The endeavor looks at the ways technology can be used to foster sophisticated learning and access to resources that is otherwise unavailable in these detached and often impoverished communities. The project aims to show how to bring science home to a community, using its issues and resources to make science relevant, hopefully leading to renewed interest in science among older residents and interest and understanding among students and teachers. Over the long term, PIs are seeking to develop a model for place-based non-hierarchical learning communities that might be put to use in a variety of places, each with its own community issues and resources. Several populations of learners are addressed: school children (K-8), who can learn about science in the context of enterprises going on around them in the community; fishermen, who contribute their experiences and wisdom but may not know the science behind what they experience; other community members with similar roles; parents; and teachers. Added in will be scientists, who may or may not come from the same community, who comment on the data collection and analysis and interpretations being done by the community. Scientists, too, will be learners, as they will need to learn how to communicate well with the target populations.
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会议论文
Sociocultural Approach to Integrating Computational Thinking and Data Analysis into an Online Citizen Science Program Linking Rural Educators in Maine, Mississippi, and Alabama
Integrate to Innovate: A Research-Practice Partnership to Integrate Computer Science into Maine Schools
Developing rural girls' STEM competency and motivation through communicating scientific topics with advanced technology
DIP: Next Generation WeatherBlur: Expanding Non-Hierarchical Online Learning Community Models for Citizen Science
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